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Add reading #7

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BenbenIO
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Adding Reading

Adding reading (Hiragana - ひらがな) to the vocabulary list.

Motive

  1. English speaker need to be able to read the vocabulary.
  2. Create vocabulary learning sheet for people willing to learn Technical Japanese.
    I would like to use this vocabulary list to complete this website if it's ok with you.

To merge

A Japanese Native speaker needs to review and correct the list.

@suzana-ilic
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Hi Ben! Sounds great, thanks so much! And yes of course, please use it! (and maybe reference to this Github) Would you mind taking a quick look again and resolving the conflicts?

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Thank you for your great work, @BenbenIO !
I've suggested some corrections regarding hiragana parts.

@suzana-ilic I found some errors and typos in the original translation and will correct them in a separate PR.

| Chain rule | 連鎖律 | れんさりつ
| Coefficients | 係数 | けいすう
| Color shift | カラーシフト | カラーシフト
| Contrast change | コントラスト(鮮やかさ)の修正 | コントラスト(あざやか)のしゅうせい
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Suggested change
| Contrast change | コントラスト(鮮やかさ)の修正 | コントラスト(あざやか)のしゅうせい
| Contrast change | コントラスト(鮮やかさ)の修正 | コントラスト(あざやかさ)のしゅうせい

| Forward propagation | 順伝播 | じゅんでんぱ
| Fully connected layer | 全結合層 | ぜんけつごうそう
| Gradient checking | 勾配チェック | こうばいチェック
| Gradient descent | 勾配降下法 | こうばいこうかっほう
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Suggested change
| Gradient descent | 勾配降下法 | こうばいこうかっほう
| Gradient descent | 勾配降下法 | こうばいこうかほう

| Hyperparameter | ハイパーパラメータ | ハイパーパラメータ
| Improvement to SGD | SGDの改良 | SGDのかいりょう
| Information loss | 情報損失 | じょうほうそんしつ
| Learning algorithm | 学習アルゴリズム | がくしゅアルゴリズム
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Suggested change
| Learning algorithm | 学習アルゴリズム | がくしゅアルゴリズム
| Learning algorithm | 学習アルゴリズム | がくしゅうアルゴリズム

| Improvement to SGD | SGDの改良 | SGDのかいりょう
| Information loss | 情報損失 | じょうほうそんしつ
| Learning algorithm | 学習アルゴリズム | がくしゅアルゴリズム
| Learning rate | 学習率 | がくしゅりつ
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Suggested change
| Learning rate | 学習率 | がくしゅりつ
| Learning rate | 学習率 | がくしゅうりつ

| Loss function | 損失関数 | そんしつかんすう
| Mini-batch | ミニバッチ | ミニバッチ
| Momentum | Momentum(運動量)| (うんどうりょう)
| Neural network training | ニューラルネットワークの学習 | ニューラルネットワークのがくしゅ
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Suggested change
| Neural network training | ニューラルネットワークの学習 | ニューラルネットワークのがくしゅ
| Neural network training | ニューラルネットワークの学習 | ニューラルネットワークのがくしゅう

| Lagrangian | ラグランジアン | ラグランジアン
| Learning Theory | 学習理論 | がくしゅうりろん
| Least Mean Squares | 最小2乗法 | さいしょう2じょうほう
| Least squared error | 最小2乗誤差 | さいしょう2じょうごさ
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Suggested change
| Least squared error | 最小2乗誤差 | さいしょう2じょうごさ
| Least squared error | 最小2乗誤差 | さいしょうにじょうごさ

| Natural parameter | 自然パラメータ | しぜんパラメータ
| Non-linear separability | 非線形分離問題 | ひせんけいぶんりもんだい
| Non-parametric approaches | ノン・パラメトリックな手法 | ノン・パラメトリックなしゅほう
| Normal equations | 正規方程式 | せいのりかたほどしき
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Suggested change
| Normal equations | 正規方程式 | せいのりかたほどしき
| Normal equations | 正規方程式 | せいきほうていしき

| Optimal parameters | 最適なパラメータ | さいてきなパラメータ
| Optimization | 最適化 | さいてきか
| Optimization problem | 最適化問題 | さいてきかもんだい
| Ordinary least squares | 最小2乗回帰 | さいしょう2のかいき
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Suggested change
| Ordinary least squares | 最小2乗回帰 | さいしょう2のかいき
| Ordinary least squares | 最小2乗回帰 | さいしょうにじょうかいき

| Sigmoid function | シグモイド関数 | シグモイドかんすう
| Softmax regression | ソフトマックス回帰 | ソフトマックスかいき
| Spam detection | スパム検知 | スパムけんち
| Stochastic gradient descent | 確率的勾配降下法 | 確率的こうばいこうかほう
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Suggested change
| Stochastic gradient descent | 確率的勾配降下法 | 確率的こうばいこうかほう
| Stochastic gradient descent | 確率的勾配降下法 | かくりつてきこうばいこうかほう

| Boundary | 境界 | きょうかい
| Characteristic function | 特性関数 | とくせいかんすう
| Chebyshev's inequality | チェビシェフの不等式 | チェビシェフのふとうしき
| Combinatorics | 組合せ | くみあいせ
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Suggested change
| Combinatorics | 組合せ | くみあいせ
| Combinatorics | 組合せ | くみあわせ

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3 participants